A comparative study of statistical and machine learning methods to infer causes of pipe breaks in water supply networks (2020)

First Author: Konstantinou C
Attributed to:  Dynamically Adaptive and Resilient Water Supply Networks for a Sustainable Future funded by EPSRC

Abstract

No abstract provided

Bibliographic Information

Digital Object Identifier: http://dx.doi.org/10.1080/1573062x.2020.1800758

Publication URI: http://dx.doi.org/10.1080/1573062x.2020.1800758

Type: Journal Article/Review

Parent Publication: Urban Water Journal

Issue: 6